Here we explain how to train or render images for the handwavy scene in the iPhone dataset. More complete documentations will be available for the arxiv release. 

1. Setup the conda enviroment. For simplicity, we pack our local conda environment into a tar file.
    ```bash
    wget http://207.148.24.8/mbgs-env.tar # about 19GB
    tar xvf mbgs-env.tar
    conda activate ./mbgs-env/
    ```

2. Download the handwavy dataset. The size is about 12 GB, but most of the data is the 2D track cache output provided by shape-of-motion. 
    ```bash
    wget http://207.148.24.8/handwavy.zip
    unzip handwavy.zip
    ```

3. Download the pre-reconstructed handwavy Gaussian scene. The size is about 48 MB.
    ```bash
    wget http://207.148.24.8/model/handwavy/ckpt.cpkl
    wget http://207.148.24.8/model/handwavy/cfg.yaml
    ```

Next, run training by 

```
bash ./run_train.sh
```

Or you can run all the cells in `run_render.ipynb` to render images. 